L #2768

Applications open Full-Time Job

Python Developer

Techbusting

India (Remote / Multiple), India
Competitive Package
Fresher (0-1 Yrs)
Posted Today

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About the role

Company Description Techbusting is a growing technology company focused on building reliable software solutions for a variety of business needs. The team values clean code, practical problem-solving, and continuous improvement. Techbusting encourages learning, collaboration, and knowledge sharing to help team members develop their technical and professional skills.

Joining the company offers opportunities to work on real-world projects, contribute to impactful products, and grow in a supportive environment.

Role Description This is a full-time, hybrid Python Developer role based in Rewari, with flexibility for partial work from home. The Python Developer will build, maintain, and optimize back-end services and applications using Python, ensuring reliability, scalability, and performance. Day-to-day responsibilities include writing clean and testable code, integrating with databases and APIs, troubleshooting and debugging issues, and collaborating with front-end developers and other stakeholders.

The role also involves participating in code reviews, improving existing systems, and contributing to technical documentation and best practices.

Qualifications

Strong Programming and Object-Oriented Programming (OOP) skills in Python.
Experience with Back-End Web Development, including APIs and server-side frameworks.
Practical knowledge of Databases, data modeling, and query optimization.
Background in Software Development, including version control, testing, and deployment workflows.
Ability to analyze requirements, design solutions, and solve complex technical problems.
Comfort working in a hybrid environment, communicating clearly with onsite and remote team members.
Relevant experience as a Python Developer or similar role; exposure to modern development practices is an advantage.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Eligibility & process

Who can apply

Seniority: Entry level. Employment type: Full-time

Skills & stack

Python OOP Django FastAPI Docker REST APIs SQL PostgreSQL

Selection process

Details are shared by the recruiter after shortlisting.

Prep kit

20 resources

Study material 4

📖 Aptitude Practice Questions & Mock Tests Curated logical, quantitative, and verbal reasoning problems for the initial online screening round. 🎯 Company-Specific Interview Preparation Corner Detailed interview experiences, exam formats, and previous test questions for Techbusting and tech roles. 📝 Technical Placement Question Bank High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides. 💻 Algorithm, DSA & Live Code Debugger Practice Hands-on problem sets to improve coding speed and step-by-step memory debugging.

Company-specific guides 4

📖 APTITUDE & LOGIC Aptitude Practice Questions & Online Mock Tests Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test. 🎯 COMPANY GUIDE Techbusting Interview Preparation Corner Comprehensive guide covering typical interview formats, common questions, and preparation tips for Techbusting and off-campus tech roles. 📝 MOCK TESTS & PAPERS Comprehensive Interview Prep Resources & Syllabus Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds. 💻 CODING PRACTICE Algorithm and Data Structure Problem Set Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Likely coding questions 4

💻 Two Sum & Two Pointers Array Optimization Easy / Medium Asked in 85% tech rounds ⚡ Live debugger 💻 Reverse Linked List & Detect Cycle (Floyd's Algorithm) Medium Frequently asked in core rounds ⚡ Live debugger 💻 SQL Nth Highest Salary with DENSE_RANK() & Subqueries Medium Top standard database question ⚡ Live debugger 💻 Valid Parentheses & Stack Implementation Easy / Medium Standard online assessment problem ⚡ Live debugger

Round-wise strategy 4

Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.

Round 2: Technical Interview 1 Core Tech Stack (Python, OOP, Django, FastAPI, Docker, REST APIs, SQL, PostgreSQL) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.

Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.

Round 4: HR & Cultural Fit Discussion Techbusting Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.

Technical questions 5

What is the difference between WHERE and HAVING clauses in SQL? Answer

Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.

⚡ Practice in the code editor

Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer

Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.

⚡ Practice in the code editor

How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer

Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.

⚡ Practice in the code editor

What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer

Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.

⚡ Practice in the code editor

How do you calculate MoM (Month-over-Month) growth in SQL? Answer

Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.

⚡ Practice in the code editor

Behavioural & HR questions 3

Why do you want to join Techbusting as a Python Developer?
Highlight Techbusting's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.

Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).

How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

About the role

Eligibility & process

Who can apply

Skills & stack

Selection process

Prep kit

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